◆ DATA ENGINEERING × SAAS

Data engineering development for SaaS

ETL, warehouses, lakehouses, real-time pipelines. We design for query cost, freshness SLOs, and analyst happiness. Tuned for saas — Multi-tenant SaaS — billing, RBAC, audit logs, usage metering, admin tooling. We've shipped JobCannon (live B2C SaaS) and built tenanted platforms for B2B.

◆ WHY MIR

Why teams pick us

SaaS-grade engineering

Multi-tenant SaaS — billing, RBAC, audit logs, usage metering, admin tooling. We've shipped JobCannon (live B2C SaaS) and built tenanted platforms for B2B.

Data engineering where it counts

ETL, warehouses, lakehouses, real-time pipelines. We design for query cost, freshness SLOs, and analyst happiness.

Senior team, no pyramid

9+ years building outsourced product teams. Every engineer is a senior shipping production code — not a 5-person team with one architect on top.

◆ SAAS PAIN POINTS WE SOLVE

Where Data engineering meets saas

Multi-tenant data isolation done right

We've shipped this in production. We design for it from day one — not as a retrofit.

Usage-based billing without Stripe nightmares

We've shipped this in production. We design for it from day one — not as a retrofit.

RBAC + audit logs that pass enterprise review

We've shipped this in production. We design for it from day one — not as a retrofit.

Onboarding flows that convert

We've shipped this in production. We design for it from day one — not as a retrofit.

◆ STACK

What we build with

dbt Snowflake / BigQuery / DuckDB / Redshift Airbyte / Fivetran / custom CDC Kafka / Kinesis Dagster / Airflow Great Expectations / dbt tests
◆ PROCESS

How we ship

  1. Audit current pipelines — cost, freshness, ownership, debt.
  2. Design the warehouse layer with reverse-ETL in mind.
  3. Add data quality tests + lineage from day one.
  4. Ship with self-serve docs + a query-cost dashboard.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.